





"""simple docstring"""





import copy
from typing import Dict, List, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


SCREAMING_SNAKE_CASE__   =  {
    "facebook/mask2former-swin-small-coco-instance": (
        "https://huggingface.co/facebook/mask2former-swin-small-coco-instance/blob/main/config.json"
    )
    # See all Mask2Former models at https://huggingface.co/models?filter=mask2former
}

SCREAMING_SNAKE_CASE__   =  logging.get_logger(__name__)

class 						lowercase   (   _UpperCAmelCase   ):
      _SCREAMING_SNAKE_CASE							      = 'mask2former'
      _SCREAMING_SNAKE_CASE							      = ['swin']
      _SCREAMING_SNAKE_CASE							      = {'hidden_size': 'hidden_dim'}





      def __init__(			self ,		lowercase = None ,		lowercase = 256 ,		lowercase = 256 ,		lowercase = 256 ,		lowercase = 1_024 ,		lowercase = "relu" ,		lowercase = 6 ,		lowercase = 10 ,		lowercase = 8 ,		lowercase = 0.0 ,		lowercase = 2_048 ,		lowercase = False ,		lowercase = False ,		lowercase = 4 ,		lowercase = 255 ,		lowercase = 100 ,		lowercase = 0.1 ,		lowercase = 2.0 ,		lowercase = 5.0 ,		lowercase = 5.0 ,		lowercase = 12_544 ,		lowercase = 3.0 ,		lowercase = 0.75 ,		lowercase = 0.02 ,		lowercase = 1.0 ,		lowercase = True ,		lowercase = [4, 8, 16, 32] ,		lowercase = None ,		**lowercase ,		)						->	Optional[int]:
            if backbone_config is None:
                  logger.info("""`backbone_config` is `None`. Initializing the config with the default `Swin` backbone."""					)
                  lowerCAmelCase    		=			CONFIG_MAPPING["""swin"""](
                      image_size=224 ,		in_channels=3 ,		patch_size=4 ,		embed_dim=96 ,		depths=[2, 2, 18, 2] ,		num_heads=[3, 6, 12, 24] ,		window_size=7 ,		drop_path_rate=0.3 ,		use_absolute_embeddings=lowercase ,		out_features=["""stage1""", """stage2""", """stage3""", """stage4"""] ,		)

            if isinstance(lowercase ,		lowercase					):
                  lowerCAmelCase    		=			backbone_config.pop("""model_type"""					)
                  lowerCAmelCase    		=			CONFIG_MAPPING[backbone_model_type]
                  lowerCAmelCase    		=			config_class.from_dict(lowercase					)

            # verify that the backbone is supported
            if backbone_config.model_type not in self.backbones_supported:
                  logger.warning_once(
                      f'Backbone {backbone_config.model_type} is not a supported model and may not be compatible with Mask2Former. '
                      f'Supported model types: {",".join(self.backbones_supported					)}'					)

            lowerCAmelCase    		=			backbone_config
            lowerCAmelCase    		=			feature_size
            lowerCAmelCase    		=			mask_feature_size
            lowerCAmelCase    		=			hidden_dim
            lowerCAmelCase    		=			encoder_feedforward_dim
            lowerCAmelCase    		=			activation_function
            lowerCAmelCase    		=			encoder_layers
            lowerCAmelCase    		=			decoder_layers
            lowerCAmelCase    		=			num_attention_heads
            lowerCAmelCase    		=			dropout
            lowerCAmelCase    		=			dim_feedforward
            lowerCAmelCase    		=			pre_norm
            lowerCAmelCase    		=			enforce_input_projection
            lowerCAmelCase    		=			common_stride
            lowerCAmelCase    		=			ignore_value
            lowerCAmelCase    		=			num_queries
            lowerCAmelCase    		=			no_object_weight
            lowerCAmelCase    		=			class_weight
            lowerCAmelCase    		=			mask_weight
            lowerCAmelCase    		=			dice_weight
            lowerCAmelCase    		=			train_num_points
            lowerCAmelCase    		=			oversample_ratio
            lowerCAmelCase    		=			importance_sample_ratio
            lowerCAmelCase    		=			init_std
            lowerCAmelCase    		=			init_xavier_std
            lowerCAmelCase    		=			use_auxiliary_loss
            lowerCAmelCase    		=			feature_strides
            lowerCAmelCase    		=			output_auxiliary_logits
            lowerCAmelCase    		=			decoder_layers

            super().__init__(**lowercase					)





      @classmethod
      def        _snake_case     (			cls ,		lowercase ,		**lowercase					)						->	Dict:
            return cls(
                backbone_config=lowercase ,		**lowercase ,		)





      def        _snake_case     (			self					)						->	Dict[str, any]:
            lowerCAmelCase    		=			copy.deepcopy(self.__dict__					)
            lowerCAmelCase    		=			self.backbone_config.to_dict()
            lowerCAmelCase    		=			self.__class__.model_type
            return output













"""simple docstring"""





def      UpperCAmelCase__				(    SCREAMING_SNAKE_CASE	:		int				,		SCREAMING_SNAKE_CASE	:		int     ):







      '''simple docstring'''




      if a < 0 or b < 0:
            raise ValueError("""the value of both inputs must be positive"""     )
      lowerCAmelCase    		=			str(bin(SCREAMING_SNAKE_CASE     )     )[2:]  # remove the leading "0b"
      lowerCAmelCase    		=			str(bin(SCREAMING_SNAKE_CASE     )     )[2:]
      lowerCAmelCase    		=			max(len(SCREAMING_SNAKE_CASE     )				,		len(SCREAMING_SNAKE_CASE     )     )
      return "0b" + "".join(
          str(int("""1""" in (char_a, char_b)     )     )
          for char_a, char_b in zip(a_binary.zfill(SCREAMING_SNAKE_CASE     )				,		b_binary.zfill(SCREAMING_SNAKE_CASE     )     )     )


if __name__ == "__main__":
       import doctest

       doctest.testmod()






